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An Extractive Multi-document Summarization Technique Based on Fuzzy Logic Approach

机译:基于模糊逻辑的提取多文档摘要技术

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With the expansion of World Wide Web services due to the growing explosion of information during these recent years automatic summarization has become primordial to provide efficient mechanisms to resume and present effective textual information. This technology can summarize multiple or single documents to get a summary. In this paper we develop method based on Fuzzy ontology extraction technique. We focus this research only in the purpose to introduce a Multi-Document Summarization Technique for Gabonese Documents. And in the purpose to realize a comparative study between our general approach and current techniques we adopt Timestamp as the comparative method. This research approach successfully generates a summary with greater information.
机译:在最近几年中,随着信息服务的爆炸性增长,万维网服务的扩展,自动摘要已成为提供恢复和呈现有效文本信息的有效机制的首要要求。该技术可以汇总多个或单个文档以获得摘要。本文提出了一种基于模糊本体提取技术的方法。我们仅将本研究的重点放在介绍加蓬文档的多文档汇总技术上。为了实现我们的一般方法和当前技术之间的比较研究,我们采用时间戳作为比较方法。该研究方法成功地生成了包含更多信息的摘要。

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